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  1. jkt48 · GitHub Topics · GitHub

    Apr 19, 2025 · Fanmade website jkt48, fresh ui, and responsive by 48intens community jkt48 48intens 48intensgacor jekate48 typicalsleepingboy ryuug Updated Apr 11, 2025

  2. GitHub - ikhbaldwiyan/jkt48-showroom-api: This API is for filtering ...

    API Type Description; ROOM API: is for get data when room is offline: ROOM LIVE: this response only show when room is on live

  3. JKT48 Live - GitHub

    JKT48 Live has 9 repositories available. Follow their code on GitHub.

  4. Fanmade Website Live Streaming JKT48 Showroom Member

    JKT48 SHOWROOM is a Fanmade streaming website for filtering JKT48 SHOWROOM Member, in this project we can see all room member JKT48 in real time, this API get from offical Showroom API and also give info about theater schedule or upcoming member live.

  5. MotionImeAiApi/knowledge.json at main - GitHub

    Motion Ime Ai. Contribute to ferrenza/MotionImeAiApi development by creating an account on GitHub.

  6. A fanmade JKT48 website to sort your favorite JKT48 members

    A fanmade JKT48 website to sort your favorite JKT48 members - adityaiwd/j-sorter

  7. Awesome Beatmap Indonesia - GitHub

    Jika kalian ingin menambahkan beatmap baru, kalian harus mengerti menggunakan GitHub, jika belum pernah menggunakannya silahkan request pm lewat discord supaya ditambahkan atau silahkan gunakan form submit ini, silahkan baca syarat di bawah ini jika ingin berkontribusi ...

  8. Motion-Ime-Ai/community_link.json at main - GitHub

    Write better code with AI Security. Find and fix vulnerabilities

  9. GitHub - yrtnsari/Sentiment-Analysis-NLP-with-Python: The …

    The project is a simple sentiment analysis using NLP. The project in written in python with Jupyter notebook. It shows how to do text preprocessing (removing of bad words, stop words, lemmatization, tokenization

  10. Sentiment-Analysis-NLP-with-Python/shopee2021.ipynb at main

    The project is a simple sentiment analysis using NLP. The project in written in python with Jupyter notebook. It shows how to do text preprocessing (removing of bad words, stop words, lemmatization, tokenization

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